Microsoft System Center Virtual Machine Manager 2012 Cookbook. Over 60 recipes for the administration and management of Microsoft System Center Virtual Machine Manager 2012 SP1

EDVALDO ALESSANDRO CARDOSO

Microsoft System Center 2012 is a comprehensive IT infrastructure, virtualization, and cloud management platform. With System Center 2012, you can more easily and efficiently manage your applications and services across multiple hypervisors as well as across public and private cloud infrastructures to deliver flexible and cost-effective IT services for your business.This cookbook covers architecture design and planning and is full of deployment tips, techniques, and solutions designed to show users how to improve VMM 2012 in a real world scenario. It will guide you to create, deploy, and manage your own Private Cloud with a mix of Hypervisors: Hyper-V, Vmware ESXi, and Citrix XenServer. It also includes the VMM 2012 SP1 features.This book is a cookbook that covers architecture design, planning and is full of deployment tips, techniques and solutions designed to show users how to improve VMM 2012 in a real world scenario. It will guide you to create, deploy and manage your own Private Cloud with a mix of Hypervisors : Hyper-V, Vmware ESXi and Citrix XenServer.

The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices

Jasmeet Bhatia, Kartik Chaudhary

While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google’s unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management.This book is a comprehensive guide that lets you explore Google Vertex AI’s easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you’ll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You’ll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows.By the end of this book, you’ll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.

Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Georgia Kalyva, George Kavvalakis

With AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure.This book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture.By the end of this book, you’ll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.

SQL Server on Azure Virtual Machines. A hands-on guide to provisioning Microsoft SQL Server on Azure VMs

Joey D'Antoni, Louis Davidson, Allan Hirt, John Martin, ...

Deploying SQL Server on Azure virtual machines allows you to work on full versions of SQL Server in the cloud without having to maintain on-premises hardware. The book begins by introducing you to the SQL portfolio in Azure and takes you through SQL Server IaaS scenarios, before explaining the factors that you need to consider while choosing an OS for SQL Server in Azure VMs. As you progress through the book, you'll explore different VM options and deployment choices for IaaS and understand platform availability, migration tools, and best practices in Azure. In later chapters, you'll learn how to configure storage to achieve optimized performance. Finally, you'll get to grips with the concept of Azure Hybrid Benefit and find out how you can use it to maximize the value of your existing on-premises SQL Server.By the end of this book, you'll be proficient in administering SQL Server on Microsoft Azure and leveraging the tools required for its deployment.

Microsoft Azure IaaS Essentials. Design, configure, and build your cloud-based infrastructure using Microsoft Azure

Guy Dillen, Gethyn Ellis

Getting Started with SketchUp Pro. Embark on your 3D modeling adventure with expert tips, tricks, and best practices

David S. Sellers

Owing to its ability to create models quickly and with high level of dimensional accuracy, SketchUp Pro has become a popular choice for many industries, including architecture, interior design, landscape architecture, and video game design. If you are seeking to adopt Trimble's exceptional design software, Getting Started with SketchUp Pro serves as an ideal primer to prepare and equip you for its use.This book will help you lay the foundation of a project from scratch, set up appropriate units, and follow a guided path to structure your 3D models. You’ll explore the workflows used for creating designs from sketches, making CAD drawings (DWG), and even updating your existing 3D models. Finally, you’ll work with extensions and 3D Warehouse to find new workflows and models to add to your skill set.By the end of this SketchUp book, you’ll be able to confidently create and share models of your design through CAD drawings and 3D views, and even take them online through the 3D Warehouse

End-to-End Automation with Kubernetes and Crossplane. Develop a control plane-based platform for unified infrastructure, services, and application automation

Arun Ramakani

In the last few years, countless organizations have taken advantage of the disruptive application deployment operating model provided by Kubernetes. With Crossplane, the same benefits are coming to the world of infrastructure provisioning and management. The limitations of Infrastructure as Code with respect to drift management, role-based access control, team collaboration, and weak contract make people move towards a control-plane-based infrastructure automation, but setting it up requires a lot of know-how and effort.This book will cover a detailed journey to building a control-plane-based infrastructure automation platform with Kubernetes and Crossplane. The cloud-native landscape has an overwhelming list of configuration management tools that can make it difficult to analyze and choose. This book will guide cloud-native practitioners to select the right tools for Kubernetes configuration management that best suit the use case. You'll learn about configuration management with hands-on modules built on popular configuration management tools such as Helm, Kustomize, Argo, and KubeVela. The hands-on examples will be patterns that one can directly use in their work.By the end of this book, you'll be well-versed with building a modern infrastructure automation platform to unify application and infrastructure automation.

Pentesting APIs. A practical guide to discovering, fingerprinting, and exploiting APIs

Maurício Harley

Understanding API security is crucial as APIs form the backbone of modern interconnected applications, making them prime targets for cyberattacks. Drawing on nearly 30 years of cybersecurity experience and an extensive background in network security and forensic analysis, this book provides the knowledge and tools to strengthen your API security practices and protect against cyber threats comprehensively.This book begins by establishing a foundational understanding of APIs, particularly focusing on REST and GraphQL, emphasizing their critical role and potential security vulnerabilities. It guides you through setting up a penetration testing environment to ensure the practical application of concepts. You’ll learn reconnaissance techniques, information-gathering strategies, and the discovery of API vulnerabilities. Authentication and authorization testing are thoroughly explored, covering mechanisms, weaknesses, and methods to bypass security controls. By comprehensively addressing these aspects, the book equips you to understand, identify, and mitigate risks, strengthening API security and effectively minimizing potential attack surfaces.By the end of this book, you’ll have developed practical skills to identify, exploit, and secure APIs against various vulnerabilities and attacks.

Effective Threat Investigation for SOC Analysts. The ultimate guide to examining various threats and attacker techniques using security logs

Mostafa Yahia

Effective threat investigation requires strong technical expertise, analytical skills, and a deep understanding of cyber threats and attacker techniques. It's a crucial skill for SOC analysts, enabling them to analyze different threats and identify security incident origins. This book provides insights into the most common cyber threats and various attacker techniques to help you hone your incident investigation skills.The book begins by explaining phishing and email attack types and how to detect and investigate them, along with Microsoft log types such as Security, System, PowerShell, and their events. Next, you’ll learn how to detect and investigate attackers' techniques and malicious activities within Windows environments. As you make progress, you’ll find out how to analyze the firewalls, flows, and proxy logs, as well as detect and investigate cyber threats using various security solution alerts, including EDR, IPS, and IDS. You’ll also explore popular threat intelligence platforms such as VirusTotal, AbuseIPDB, and X-Force for investigating cyber threats and successfully build your own sandbox environment for effective malware analysis.By the end of this book, you’ll have learned how to analyze popular systems and security appliance logs that exist in any environment and explore various attackers' techniques to detect and investigate them with ease.

Unleashing the Power of UX Analytics. Proven techniques and strategies for uncovering user insights to deliver a delightful user experience

Jeff Hendrickson, Travis Wissink

UX analytics is a field that recognizes the significance of understanding human behavior and emotions in designing user experiences. It goes beyond mere metrics and embraces a people-centric approach. With the help of this comprehensive guide, you’ll acquire essential skills, knowledge, and techniques to establish a top-notch UX analytics practice.Unleashing the Power of UX Analytics will equip you with the strategies and tactics necessary to effectively collect, analyze, and interpret data, empowering you to make informed decisions that enhance the overall user experience. It emphasizes the importance of empathy in comprehending user needs and desires, enabling you to create meaningful and impactful design solutions. As you advance, this book walks you through the entire UX analytics process, from setting goals and defining key performance indicators (KPIs) to implementing various research methods and tools. You'll gain insights into user interview best practices, usability testing, and techniques for gathering qualitative and quantitative data.Armed with the knowledge of data analysis and interpretation, you'll be able to uncover patterns, trends, and user preferences to make data-driven decisions.

Service Worker Development Cookbook. Click here to enter text

Sean Amarasinghe

It would be nice to have web apps that work offline and send push notifications. This is now possible with Service Workers, which can add native-like functionality to your web apps without requiring a download. This book will get your mobile and web apps functioning without Internet connectivity, improve performance and network interaction in order to increase the level of availability, and show you how to build performant applications that seamlessly integrate with third-party APIs.We’ll show you how to add Service Worker functionality to web apps and sites, access offline content through basic and advanced techniques, and build powerful interactive system notifications. We’ll also teach you about cache functionality and assets to provide immediate load even over narrow connections. We conclude by giving you various tips to improve app performance, including the background sync technique. By the end of this book, you’ll know build high performing and faster web and mobile applications with Service Workers.

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones.Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring.Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.

Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value

Bipin Chadha, Sylvester Juwe

DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.

Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones

Joshua Burkhow, Justin Bozonier, Stefano Paluello

WordPress Web Application Development. Build rapid web applications with cutting-edge technologies using WordPress

Rakhitha Nimesh Ratnayake

Magento 2 Theme Design. Create stunning and responsive Magento 2 themes for your business - Second Edition

Fernando J Miguel, Richard Carter

Magento is the e-commerce software and platform trusted by the world’s leading brands. Using Magento’s powerful theming engine, you can control the look, content, and functionality, and easily launch a flexible e-commerce website. However, because of its powerful features, developing Magento themes is easier said than done.This book aims to leverage the enhancements to theme designing in Magento 2 to the fullest. It will show you how to gear up the performance of your e-commerce website.We begin by introducing Magento 2 and its features along with implementing a local development Magento environment. We then move on to discuss the concepts of the Magento theme structure such as templates, inheritance, customization, and override. Further on, we explore the Magento UI Library, which is a new feature available in Magento 2.0. We will create a new Magento 2.0 theme named MyCake Store using Magento Bootstrap from Maven E-commerce and also create print strategies for the Magento 2.0 theme. We will also create and customize a new theme proposal for the Magento admin panel. At the end, we will integrate Magento 2.0 to Twitter and integrate it with social bookmarking and finally deploy our new Magento 2.0 theme.